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This chapter examined the financial effects of COVID-19 pandemic on the Nigerian tourism by disaggregating the tourism sector into transportation industry, accommodation industry, travelling agencies, resorts/tourist site and regulatory agencies. Specifically, this study only targeted 240 key players in the Nigerian Tourism sector in Lagos state while the sourced data were analysed using Pearson correlation analysis. The result revealed that the emergence of COVID-19 pandemic has a negative statistical influence on both the transportation and accommodation industry. The financial implication of this result is that the emergence of COVID-19 pandemic increased the cost of transport, sharply reduced revenue inflow into the transportation and accommodation industry Again, the emergence of COVID-19 pandemic exerted positive significant influence on Travel agency and resort/tourist site. However, the emergence of COVID-19 pandemic exerted positive insignificance influence on regulatory agency. Hence, the study concluded that the emergence of the COVID-19 pandemic increased the cost of transport, sharply reduced revenue inflow into accommodation industry, increased travel agency and resort/tourist site costs. Premised on this, the study recommends that the federal government should ensure that the cost of transportation is subsidized, as this would help to correct the negative effect of COVID-19 on the Nigerian transportation industry.

The unhealthy drive for deposit in the banking sector has pushed many banks into unethical practices, thereby resulting in high-level corruption cases in the banking sector. The purpose of this study is to investigate the short- and long-run linkages between bank net interest income and deposit liabilities interacted with corruption, to establish the influence of corruption in deposit mobilisation drive of banks in Nigeria. Also, the study analysed the causal relationship between selected bank variables and fraud.

The study used quarterly data on selected variables from 1Q 1993 to 4Q 2017 sourced from Nigerian Deposit Insurance Corporation (NDIC) annual reports and Central Bank of Nigeria (CBN) Statistical Bulletin of various issues. Deposit Money Bank various deposit liabilities are interacted with a corruption index and used as the independent variables, while bank earnings serve as the dependent variable. Error Correction Model (ECM) and Engel Granger approach to co-integration technique were used to analyse the data.

The findings reveal that various bank deposit liabilities interacted with corruption index has a negative effect on bank profitability in the long run, though only corrupt fixed deposit is statistically significant at the 5 per cent significance level. Bank total asset, total loan and advances and fraud have a significant effect on bank profitability at 1 and 10 per cent significance level. The findings also reveal that banks profit from corrupt fixed deposit and demand deposit in the short run.

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The literature is awash with bank lending corruption and various institutional factors such as competition among banks, credit bureau and information sharing about borrowers, bank supervisory policies, loan loss provisioning, bank ownership structure and regulatory environment and anti-corruption measures. The aspect of deposit mobilisation and corruption has not been well researched in literature; this study, therefore, fills the gap in the literature by examining the extent deposit money banks contributed to corruption in Nigeria through their cutthroat deposit mobilisation drive.

The purpose of this paper is to examine the challenges of accountability and development in Nigeria. In the literature, corruption is seen as an indicator of a lack of political accountability in most countries of the world, especially in less developed countries such as Nigeria. The Nigerian Government has taken several actions to address the problems of bad governance and corruption that have impeded economic development, but unfortunately these measures have not yielded the desired results.

Thus, this study examined accountability and developmental issues in Nigeria using secondary data and then made use of the auto-regressive distributed lag econometric technique to analyze the data.

The results from the study found that a rise in total government expenditure poses a danger of reducing Nigeria’s economic development in the long run and that control of corruption and political (the institutional variables) has a direct and significant effect on Nigeria’s economic development.

Therefore, upon these findings, this paper recommended that for Nigeria to experience development, corruption should be eliminated, and the Nigerian Government should spend on viable projects and economic activities that will be beneficial to the populace and the society at large and hence bring about economic development. Accountability is the hallmark of a prudent government that ensures efficient management of resources and transparency in the utilization of funds by the government. The absence of accountability mechanism allows corruption to thrive, which hinders the developmental process.

The industrial sector has been identified as one of the means to address the issue of unemployment due to its role in ensuring sustainable development. However, evidence from the Central Bank of Nigeria Statistical Bulletin reveals that the sector lags behind the agricultural and services sector in terms of its contribution to the gross domestic product. In light of this, the purpose of this paper is to ascertain whether the industrial sector development is a veritable tool in addressing the issue of unemployment in the long run for the Nigerian economy.

In order to determine whether industrial development is a veritable tool in addressing the issue of unemployment in the long run, the study makes use of the Autoregressive Distributed Lag model. The choice of this method over the commonly used Johansen co-integration approach is that it provides the mechanism to estimate the model in the presence of different order of integration among the macroeconomic variables; it allows us to combine and I(0) and I(1) series, while there is strict assumption of I(1) for all variables under the Johansen approach.

The major finding of the paper is that an inverse and elastic relationship exists between industrial output and unemployment. This suggests that the unemployment rate is very sensitive to changes in the industrial sector in Nigeria.

The major limitation is the availability of recent data to capture recent happenings in the Nigerian economy.

The paper considers the entire sector encompassed in the industrial sector as opposed to focusing on just the manufacturing sector.